Quantum Entanglement: A Non-Classical Geometry for Complex System Computation
Jincheng Zhang
Abstract
Quantum entanglement, a cornerstone of quantum mechanics, presents a unique and potentially transformative approach to computation, particularly for complex systems. This paper explores the utilization of quantum entanglement as a non-classical geometry to design novel topological geometric models, aiming to enhance self-similarity beyond traditional computational methods. We propose a framework where entanglement serves as a fundamental building block, enabling the creation of complex structures with enhanced properties. This research delves into the mathematical foundations of this approach, detailing the mechanisms through which entanglement drives the formation of these geometric models. The core claim is that this novel methodology offers a significant leap in computational power and self-similarity, exceeding current limitations in complex system analysis. This work investigates the potential of this framework for tackling intricate problems in fields ranging from materials science to bioinformatics.